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20192021
most citedRecurrent machines for likelihood-free inference

1 citations · 1 across the 2 of their papers we have counts for

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quant-ph2024

Quantum Rainbow Codes: Achieving Linear Rate, Growing Distance and Transversal Non-Clifford Gates with Generalised Colour Codes

Thomas R. Scruby, Arthur Pesah, Mark Webster

We introduce rainbow codes, a novel class of quantum error correcting codes generalising colour codes and pin codes. Rainbow codes can be defined on any -dimensional simplicial…

quant-ph2023

The domain wall color code

Konstantin Tiurev, Arthur Pesah, Peter-Jan H. S. Derks +4

We introduce the domain wall color code, a new variant of the quantum error-correcting color code that exhibits exceptionally high code-capacity error thresholds for qubits subject…

quant-ph2021

Noise-Assisted Variational Quantum Thermalization

Jonathan Foldager, Arthur Pesah, Lars Kai Hansen

Preparing thermal states on a quantum computer can have a variety of applications, from simulating many-body quantum systems to training machine learning models. Variational circui…

quant-ph2020

Absence of Barren Plateaus in Quantum Convolutional Neural Networks

Arthur Pesah, M. Cerezo, Samson Wang +3

Quantum neural networks (QNNs) have generated excitement around the possibility of efficiently analyzing quantum data. But this excitement has been tempered by the existence of exp…

quant-ph2020

Quantum Machine Learning in High Energy Physics

Wen Guan, Gabriel Perdue, Arthur Pesah +4

Machine learning has been used in high energy physics for a long time, primarily at the analysis level with supervised classification. Quantum computing was postulated in the early…